Information theory and statistics Export

@book{citeulike:841435, abstract = {Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated Function System is driven by the sequence, producing a fractaMike representation (CSR) with a low computational cost. Then, two entropic measures are applied to the CSR histogram of the CSR and theoretically justified. Examples are included.}, address = {New York}, author = {Kullback, S.}, citeulike-article-id = {841435}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5452}, keywords = {entropy, relative}, posted-at = {2009-04-11 19:05:19}, priority = {2}, publisher = {John Wiley and Sons.}, title = {Information theory and statistics}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5452}, year = {1959} }

TY - BOOK ID - citeulike:841435 L3 - citeulike-article-id:841435 N2 - Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated Function System is driven by the sequence, producing a fractaMike representation (CSR) with a low computational cost. Then, two entropic measures are applied to the CSR histogram of the CSR and theoretically justified. Examples are included. AD - New York TI - Information theory and statistics PB - John Wiley and Sons. KW - entropy KW - relative AU - Kullback, S PY - 1959/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5452 ER -